This article provides a complete, practical walkthrough of the Telegram Googleanalytics Automation Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Automating Weekly Online Marketing Reports with n8n: A No-Code Powerhouse Workflow
   
   Meta Description:
   Discover how to automate comprehensive online marketing reports with n8n using Google Analytics, Google Ads, Meta Ads, and GPT-4. Learn how this workflow saves hours of manual work every week.
   
   Keywords:
   n8n workflow, online marketing automation, Google Analytics API, Google Ads API, Meta Ads API, OpenAI GPT-4, automated reports, marketing dashboard, no-code tools, weekly email reports, Telegram marketing reports, ROAS, CTR, CPM
   
   Third-Party APIs Used:
   
   1. Google Analytics API – For collecting Google Analytics 4 (GA4) metrics like sessions, pageviews, conversions, and revenue.
   2. Google Ads API – For accessing campaign performance data such as impressions, clicks, conversions, spend, and ROAS from Google Ads.
   3. Meta (Facebook) Ads API (via Facebook Graph API) – For gathering campaign insights from Meta Ads including CPM, impressions, link clicks, cost per conversion, and ROAS.
   4. OpenAI API – To process and format marketing data using GPT-4o for email summaries and Telegram-ready summaries.
   5. SMTP (Email Sending via n8n) – To send the formatted marketing summary as a professional HTML email report.
   6. Telegram API – To optionally deliver a compact version of the analytics report as a text message.
   
   Article:
   
   Automating Weekly Online Marketing Reports Using n8n and AI
   
   Staying on top of your digital marketing performance can be time-consuming—especially when it involves multiple domains, channels, and metrics. Fortunately, the no-code automation tool n8n can simplify this process dramatically. With its workflow-based architecture and integration support for powerful third-party APIs, n8n enables marketers to automatically generate and send detailed weekly reports covering Google Analytics, Google Ads, and Meta Ads.
   
   This article explores a comprehensive "Online Marketing Weekly Report" workflow in n8n that runs every Monday at 7 a.m., retrieves and compares marketing data from the last 7 days and the same week from the previous year, summarizes findings using GPT-4, and distributes formatted insights via email and Telegram—all without writing a single line of frontend code.
   
   Streamlined with Smart Triggers and Scheduling
   
   The workflow kicks off with a Schedule Trigger node, set to execute every Monday morning. This ensures weekly cadence and consistency in reporting without any manual prompt.
   
   Once triggered, the workflow dives into a sequence of intelligent data gathering:
   
   - Google Analytics metrics (e.g., sessions, pageviews, conversions) are pulled from five distinct domains.
   - Google Ads and Meta Ads (Facebook) campaign data are fetched and prepared for analysis.
   
   For each data source, two timeframes are compared: the last 7 days and the same 7-day window from the previous year, offering year-over-year insights at a glance.
   
   Unifying Diverse Data Sources with Automation
   
   Each data source is queried through dedicated sub-workflows that call out to third-party APIs:
   
   - Google Analytics API provides e-commerce-related metrics like screen views, conversions, session durations, and revenue.
   - Google Ads API (via HTTP request with OAuth2 credentials) retrieves campaign-level performance including impressions, CTR, conversions, spend, average CPM, and ROAS.
   - Meta Ads API (via Facebook Graph API) complements the report with metrics like inline link clicks, cost per conversion, and purchase ROAS.
   
   Once data is retrieved, JavaScript-based code nodes perform data formatting and aggregation. This includes crafting boilerplate structures, calculating summary totals and averages, computing CPMs, and transforming cost micros into readable euros.
   
   Data Intelligence through AI (GPT-4o)
   
   One of the standout features of the workflow is its integration with OpenAI’s GPT-4o model. The model receives raw marketing metrics—both current and historical—in a structured JSON payload and transforms them into:
   
   - Clear, digestible summaries (max 3 sentences) written in business-friendly language.
   - Easy-to-read HTML tables detailing each metric, with absolute values and percentage changes.
   - Separate reports for each domain, Google Ads, and Meta Ads.
   
   This layer allows decision-makers to consume complex data quickly and confidently, without needing to interpret raw numbers or complex spreadsheets.
   
   Beautiful HTML Email Reports, Generated Automatically
   
   After the AI completes the summaries and tables, an agent node combines them into a well-structured HTML email. The design includes:
   
   - A friendly greeting and purpose intro
   - Styled <h2> headers for each section (Domain 1 to 5, Google Ads, Meta Ads)
   - Tables with metric-by-metric comparisons, showing week-on-week and year-over-year deltas
   - No fluff—just insight.
   
   The final HTML package is then emailed to the recipient using n8n’s native SMTP node.
   
   Bonus: Instant Telegram Updates
   
   For fast consumption on the go, the workflow also creates a compact version of the report summary specifically formatted for Telegram. It strips the tables and integrates essential numbers into plain text paragraphs, such as:
   
   Domain 1: 24.000 page views (+10.5%) and 4.500 users (-2.7%).
   
   This summary is then pushed directly to a Telegram channel or chat via the Telegram API.
   
   Conclusion
   
   If you're a digital marketer spending hours cobbling together cross-platform reports every week, this n8n workflow can revolutionize your routine. By assembling data, comparing historical trends, formatting insights, and communicating results automatically, this setup delivers powerful reporting with zero manual intervention. Combining the versatility of n8n with the intelligence of OpenAI and the connectivity of Google and Meta APIs, this workflow is not just automation—it's online marketing intelligence on autopilot.
   
   Ready to build your own version? You can start today by copying the nodes and adapting the data sources to your own properties and campaigns. With n8n, reliable and intelligent weekly reporting is just a few clicks away.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.